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    Unraveling the Geography of Intercity Flows of Migrants&#x2019; <i>Hukou</i> Conversion Intentions: A Spatial Econometric Origin-Destination Flow Analysis

    Source: Journal of Urban Planning and Development:;2022:;Volume ( 148 ):;issue: 004::page 05022032
    Author:
    Xin Lao
    ,
    Hengyu Gu
    ,
    Qiang Gao
    ,
    Guoju Ai
    ,
    Junhui Wang
    DOI: 10.1061/(ASCE)UP.1943-5444.0000875
    Publisher: ASCE
    Abstract: Using the China Migrants Dynamic Survey (CMDS) in 2017, this study constructs a network of intercity flows of hukou conversion intentions to analyze the geographical patterns and influencing factors of intercity hukou conversion intentions. A spatial econometric origin–destination flow model (spatial OD model) is employed to examine the effects of origin cities, destination cities, individual-level factors, and network autocorrelation among flows, improving the model performance by introducing the spatial dependence among origins and destinations. It reveals that Beijing and Shanghai act as the national hukou attraction centers, and cities with high hukou attractiveness are mainly distributed in the eastern coastal region and higher administrative levels. The network autocorrelation is embodied in the origin and destination dependence, impacting the unbalanced distribution of hukou conversion intention flows. The intercity flows of hukou conversion intentions are affected by the population sizes and socioeconomic factors of origin and destination cities, together with demographic attributes, social security conditions, and migration features. The unbalanced spatial pattern and the significant network autocorrelation of intercity hukou conversion intentions provide policy implications for China’s hukou system reform.
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      Unraveling the Geography of Intercity Flows of Migrants&#x2019; <i>Hukou</i> Conversion Intentions: A Spatial Econometric Origin-Destination Flow Analysis

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    contributor authorXin Lao
    contributor authorHengyu Gu
    contributor authorQiang Gao
    contributor authorGuoju Ai
    contributor authorJunhui Wang
    date accessioned2022-12-27T20:44:11Z
    date available2022-12-27T20:44:11Z
    date issued2022/12/01
    identifier other(ASCE)UP.1943-5444.0000875.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4287900
    description abstractUsing the China Migrants Dynamic Survey (CMDS) in 2017, this study constructs a network of intercity flows of hukou conversion intentions to analyze the geographical patterns and influencing factors of intercity hukou conversion intentions. A spatial econometric origin–destination flow model (spatial OD model) is employed to examine the effects of origin cities, destination cities, individual-level factors, and network autocorrelation among flows, improving the model performance by introducing the spatial dependence among origins and destinations. It reveals that Beijing and Shanghai act as the national hukou attraction centers, and cities with high hukou attractiveness are mainly distributed in the eastern coastal region and higher administrative levels. The network autocorrelation is embodied in the origin and destination dependence, impacting the unbalanced distribution of hukou conversion intention flows. The intercity flows of hukou conversion intentions are affected by the population sizes and socioeconomic factors of origin and destination cities, together with demographic attributes, social security conditions, and migration features. The unbalanced spatial pattern and the significant network autocorrelation of intercity hukou conversion intentions provide policy implications for China’s hukou system reform.
    publisherASCE
    titleUnraveling the Geography of Intercity Flows of Migrants’ Hukou Conversion Intentions: A Spatial Econometric Origin-Destination Flow Analysis
    typeJournal Article
    journal volume148
    journal issue4
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000875
    journal fristpage05022032
    journal lastpage05022032_10
    page10
    treeJournal of Urban Planning and Development:;2022:;Volume ( 148 ):;issue: 004
    contenttypeFulltext
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